Evidence map›Paper›PMID 38364177›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2024

Characteristics of Femoral Shaft Fractures That Predict Ipsilateral Femoral Neck Fractures.

Matthew T Yeager, David Woodard, Mina Hwang, Matthew Quinn, David A Patch, Rodney Arthur, Charles O Ross, J Alex Albright, Andrew Evans, Rebecca Rajfer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 97% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Matthew T YeagerFrom the Department of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL (Mr. Yeager, Dr. Patch, Dr. Arthur, Mr. Ross, and Dr. Johnson); the Department of Orthopaedic Surgery, Loma Linda University, Loma Linda, CA (Dr. Woodard, Dr. Hwang, and Dr. Rajfer); and the Department of Orthopaedic Surgery, Brown University, Providence, RI (Dr. Quinn, Albright, and Dr. Evans).ORCID 0000-0003-3587-9986
David Woodard
Mina Hwang
Matthew Quinn
David A Patch
Rodney Arthur
Charles O Ross
J Alex Albright
Andrew Evans
Rebecca Rajfer
Evans Analytical Group (United States) · USDefence Research and Development Organisation · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aims to characterize radiographic features and fracture characteristics in femoral shaft fractures with associated femoral neck fractures, with the goal of establishing predictive indicators for the presence of ipsilateral femoral neck fractures (IFNFs).

methodsA retrospective cohort was collected from the electronic medical record of three level I trauma centers over a 5-year period (2017 to 2022) by current procedural terminology (CPT) codes. Current CPT codes for combined femoral shaft and IFNFs were identified to generate our study group. CPT codes for isolated femur fractures were identified to generate a control group.

resultsOne hundred forty patients comprised our IFNF cohort, and 280 comprised the control cohort. On univariate, there were significant differences in mechanism of injury (P < 0.001), Orthopedic Trauma Association (OTA)/Arbeitsgemeinshaft fur Osteosynthesefragen (AO) classification (P = 0.002), and fracture location (P < 0.001) between cohorts. On multivariate, motor vehicle crashes were more commonly associated with IFNFs compared with other mechanism of injuries. OTA/AO 32A fractures were more commonly associated with IFNFs when compared with OTA/AO 32B fractures (adjusted odds ratio = 0.36, P < 0.001). Fractures through the isthmus were significantly more commonly associated with IFNFs than fractures more proximal (adjusted odds ratio = 2.52, P = 0.011). DISCUSSION: Detecting IFNFs in femoral shaft fractures is challenging. Motor vehicle crashes and motorcycle collisions, OTA/AO type 32A fractures, and isthmus fractures are predictive of IFNFs.

Indexed as

Femoral FracturesFemoral Neck FracturesOrthopedicsFemurHumansRetrospective Studies

Identifiers

PMID38364177
PMCPMC10876234
OpenAlexW4391888895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.